Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Stent Edge-Related Hematoma: An Overlooked Predictor of Early Stent Failure.

JACC. Cardiovascular interventions·2026
Same author

Efficacy of the Shear Stress Pattern Computed in Coronary Artery Reconstruction Models With and Without Side Branches in Predicting Plaque Progression.

Arteriosclerosis, thrombosis, and vascular biology·2026
Same author

Comparison of Atheroma Burden Changes Using Conventional vs. End-Diastolic Intravascular Ultrasound Segmentation　- Post Hoc Analysis of the PACMAN-AMI Study.

Circulation journal : official journal of the Japanese Circulation Society·2026
Same author

A Novel Demography-Based Approach to Define Patient-Specific Outflow Boundary Conditions in CT-Based FFR Computations.

Annals of biomedical engineering·2026
Same author

A novel framework for fully automated co-registration of intravascular ultrasound and optical coherence tomography imaging data.

European heart journal. Digital health·2026
Same author

IntraCross: Cross-modality graph matching for intravascular sequence registration.

Computers in biology and medicine·2026

Related Experiment Video

Updated: Nov 19, 2025

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
09:20

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Published on: February 13, 2021

6.8K

Left Ventricular Assist Device Flow Pattern Analysis Using a Novel Model Incorporating Left Ventricular Pulsatility.

Jonathan Grinstein1, Ryo Torii2, Christos V Bourantas3

  • 1From the Department of Medicine, Section of Cardiology, University of Chicago, Chicago, Illinois.

ASAIO Journal (American Society for Artificial Internal Organs : 1992)
|February 2, 2021
PubMed
Summary
This summary is machine-generated.

Computational fluid dynamics reveal how different left ventricular assist device (LVAD) types and settings impact blood flow, potentially reducing complications. This study analyzes flow patterns to improve device performance and patient outcomes.

More Related Videos

Protocol for Relative Hydrodynamic Assessment of Tri-leaflet Polymer Valves
11:12

Protocol for Relative Hydrodynamic Assessment of Tri-leaflet Polymer Valves

Published on: October 17, 2013

14.0K
Characterization of the Isolated, Ventilated, and Instrumented Mouse Lung Perfused with Pulsatile Flow
10:02

Characterization of the Isolated, Ventilated, and Instrumented Mouse Lung Perfused with Pulsatile Flow

Published on: April 29, 2011

16.6K

Related Experiment Videos

Last Updated: Nov 19, 2025

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
09:20

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Published on: February 13, 2021

6.8K
Protocol for Relative Hydrodynamic Assessment of Tri-leaflet Polymer Valves
11:12

Protocol for Relative Hydrodynamic Assessment of Tri-leaflet Polymer Valves

Published on: October 17, 2013

14.0K
Characterization of the Isolated, Ventilated, and Instrumented Mouse Lung Perfused with Pulsatile Flow
10:02

Characterization of the Isolated, Ventilated, and Instrumented Mouse Lung Perfused with Pulsatile Flow

Published on: April 29, 2011

16.6K

Area of Science:

  • Cardiovascular Engineering
  • Biomedical Fluid Dynamics
  • Medical Device Simulation

Background:

  • Understanding blood flow in the left ventricular assist device (LVAD)-left ventricle-aorta circuit is crucial but incomplete.
  • Existing computational fluid dynamics (CFD) models often fail to fully integrate the pulsatile left ventricle with continuous-flow LVADs.
  • Suboptimal flow patterns increase the risk of LVAD-related complications, highlighting the need for advanced simulation.

Purpose of the Study:

  • To analyze how different LVAD types and operational modes affect hemodynamic parameters within the cardiovascular circuit.
  • To investigate the interplay between patient-specific anatomy and LVAD function using CFD.
  • To quantify blood stagnation and shear stress as indicators of flow quality and potential complications.

Main Methods:

  • Reconstructed patient-specific anatomical models from CT scans for CFD simulations.
  • Integrated LVADs into a lumped-parameter model of systemic circulation, calibrated with patient data.
  • Simulated flow dynamics for HeartMate II, HeartWare HVAD, HeartMate 3 (continuous and artificial pulse modes).
  • Quantified blood flushing, shear stress, and shear rate in the aorta.

Main Results:

  • Blood flow velocity in the outflow cannula varied significantly between LVAD models (HVAD > HMII ≈ HM3).
  • Artificial pulse mode in HM3 improved blood flushing in the ascending aorta compared to continuous mode (60% vs. 48% after six cycles).
  • HVAD exhibited higher shear stress and shear rate in the aortic arch compared to HMII and HM3, indicating potentially higher risk for platelet activation.

Conclusions:

  • LVAD type and flow algorithms significantly influence hemodynamic patterns, affecting blood stagnation and shear stress.
  • CFD modeling provides a powerful tool to study pump-patient interactions and optimize LVAD performance.
  • This approach can help mitigate downstream LVAD complications by understanding and improving flow dynamics.